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Sudeshna Das

3 papers hereh-index 171k citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.LG1
same name
  • Sudeshna Das — 5 papers, h 1
  • Sudeshna Das — 5 papers, h 4
  • Sudeshna Das — 2 papers, h 30
  • Sudeshna Das — 1 paper
  • Sudeshna Das — 1 paper, h 1
  • Sudeshna Das — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedRobust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

238 citations · 242 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2023★ 4 cited

Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies

Karthik Gopinath, Douglas N. Greve, Sudeshna Das +3

Surface analysis of the cortex is ubiquitous in human neuroimaging with MRI, e.g., for cortical registration, parcellation, or thickness estimation. The convoluted cortical geometr…

eess.IV2022★ 238 cited

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

Benjamin Billot, Colin Magdamo, You Cheng +3

Every year, millions of brain MRI scans are acquired in hospitals, which is a figure considerably larger than the size of any research dataset. Therefore, the ability to analyse su…

cs.LG2022

Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham

Matthew Leming, Sudeshna Das, Hyungsoon Im

Automated disease detection in neuroimaging holds promise to improve the diagnostic ability of radiologists, but routinely collected clinical data frequently contains technical and…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.